Sue Read

1.1k citations
68 papers · 837 · h-index 17

Impact in

Papers in

Sue Read

66 papers receiving 781 citations

Peers

Sue Read
Comparison fields: 5 of 47
  • Public Health, Environmental and Occupational Health 325
  • Clinical Psychology 124
  • General Health Professions 41
  • Health Informatics 4
  • Nephrology 15
Replace Subasri Narasimhan with:
Subasri Narasimhan United States
Julian Abel United Kingdom
Mary E. Dankoski United States
Timothy J. Classen United States
Mélanie Vachon Canada
Konstantina Poursanidou United Kingdom
Jos V. M. Welie United States
Tess Moeke‐Maxwell New Zealand
Patricia H. Boston Canada
Christie Lancaster Palladino United States
Sue Read relative to Subasri Narasimhan United States Subasri Narasimhan's profile →
Citations per field
00.5×2×3×3.5×
Subasri Narasimhan · 1×
Citations per year

Countries citing papers authored by Sue Read

Since Specialization
Citations

This map shows the geographic impact of Sue Read's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sue Read with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Read more than expected).

Fields of papers citing papers by Sue Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sue Read. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sue Read. The network helps show where Sue Read may publish in the future.

Co-authors

The 25 scholars most cited alongside Sue Read, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sue Read Line = papers co-authored together Sue Read links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201560
2 201552
3 201544
4 201043
5 201734
6 201033
7 201133
8 201029
9 200726
10 202024
11 201923
12 202122
13 199821
14 200421
15 202018
16 200117
17 201717
18 199616
19 200016
20 201516

About Sue Read

Sue Read is a scholar working on Clinical Psychology, Public Health, Environmental and Occupational Health, General Health Professions, Safety Research and Nephrology, having authored 68 papers that have together received 837 indexed citations. Recurring topics across this work include Grief, Bereavement, and Mental Health (17 papers), Palliative Care and End-of-Life Issues (12 papers), Palliative and Oncologic Care (6 papers), Mental Health and Patient Involvement (3 papers), Down syndrome and intellectual disability research (2 papers), Homelessness and Social Issues (1 paper), Ethics in Clinical Research (1 paper) and Disability Rights and Representation (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (325 citations), Clinical Psychology (124 citations), General Health Professions (41 citations), Health Informatics (4 citations) and Nephrology (15 citations). Sue Read has collaborated with scholars based in United Kingdom, Australia and Ireland. Frequent co-authors include Roger James Stancliffe, Michele Wiese, Josephine M. Clayton, Sian Maslin‐Prothero, Helena M Priest, Edward Lindop, Daniel Herron, Julius Sim, Leopold Curfs and Dorry McLaughlin. Their work appears in journals such as International Journal of Palliative Nursing, Journal of Applied Research in Intellectual Disabilities, Nurse Education in Practice, British Journal of Learning Disabilities and Journal of Learning Disabilities.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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